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1.
Environ Sci Technol ; 58(1): 280-290, 2024 Jan 09.
Artigo em Inglês | MEDLINE | ID: mdl-38153403

RESUMO

While human mobility plays a crucial role in determining ambient air pollution exposures and health risks, research to date has assessed risks on the basis of almost solely residential location. Here, we leveraged a database of ∼128-144 million workers in the United States and published ambient PM2.5 data between 2011 and 2018 to explore how incorporating information on both workplace and residential location changes our understanding of disparities in air pollution exposure. In general, we observed higher workplace exposures relative to home exposures, as well as increased exposures for nonwhite and less educated workers relative to the national average. Workplace exposure disparities were higher among racial and ethnic groups and job types than by income, education, age, and sex. Not considering workplace exposures can lead to systematic underestimations in disparities in exposure among these subpopulations. We also quantified the error in assigning workers home instead of a weighted home-and-work exposure. We observed that biases in associations between PM2.5 and health impacts by using home instead of home-and-work exposure were the highest among urban, younger populations.


Assuntos
Poluentes Atmosféricos , Poluição do Ar , Humanos , Estados Unidos , Poluentes Atmosféricos/análise , Exposição Ambiental/análise , Poluição do Ar/análise , Bases de Dados Factuais , Material Particulado/análise
2.
J Am Plann Assoc ; 83(3): 296-314, 2017.
Artigo em Inglês | MEDLINE | ID: mdl-31762526

RESUMO

PROBLEM RESEARCH STRATEGY AND FINDINGS: Supportive built environments for walking are linked to higher rates of walking and physical activity, but little is known about this relationship for socioeconomically disadvantaged (e.g., low-income and racial/ethnic minority) populations. We review 17 articles and find that most show that the built environment has weaker effects on walking and physical activity for disadvantaged than advantaged groups. Those who lived in supportive built environments walked more and were more physically active than those who did not, but the effect was about twice as large for advantaged groups. We see this difference because disadvantaged groups walked more in unsupportive built environments and less in supportive built environments, though the latter appears more influential. TAKEAWAY FOR PRACTICE: Defining walkability entirely in built environment terms may fail to account for important social and individual/household characteristics and other non-built environment factors that challenge disadvantaged groups, including fear of crime and lack of social support. Planners must be sensitive to these findings and to community concerns about gentrification and displacement in the face of planned built environment improvements that may benefit more advantaged populations. We recommend five planning responses: Recognize that the effects of the built environment may vary by socioeconomics; use holistic approaches to improve walkability; expand walkability definitions to address a range of social and physical barriers; partner across agencies, disciplines, and professions; and evaluate interventions in different socioeconomic environments.

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